Work absence after breast cancer diagnosis: a population-based study
Notice bibliographique
Résumé
BACKGROUND: Absence from work after breast cancer diagnosis may be part of the burden of disease for women with cancer, but little research has addressed this. We examined work absences of 4 weeks or more among women who had had breast cancer during the 3 years after diagnosis and compared their absences with those of women who had never had cancer. METHODS: Our 2 target study groups were women in Quebec 18-59 years of age who were working when they first received therapy for breast cancer between November 1996 and August 1997 and similarly aged women randomly selected from provincial health care files who had never had cancer and were working at the time of diagnosis in women who had cancer. We interviewed 646 women who had had breast cancer (73% of those eligible) and 890 women in the comparison group (51% of those eligible) by telephone 3 years after first diagnosis. RESULTS: One year after diagnosis, 85% (459/541) of breast cancer survivors who remained free of disease during the 3-year study period were absent from work for 4 weeks or more compared with 18% (156/881) of healthy women (geometric mean total duration 5.6 v. 1.7 months, p < 0.001). By the third year, disease-free women were not absent more than women in the comparison group; however, more women who had experienced any new cancer event continued to be absent from work and to be absent from work for longer periods of time. Receiving adjuvant chemotherapy prolonged absence duration (9.5 v. 5.4 months among women not receiving chemotherapy). Compared with survivors belonging to a union, those who did not belong to a union (multivariate relative risk [RR] 7.54, 95% confidence interval [CI] 3.02-18.83) and those who were self-employed (RR 13.95, 95% CI 5.53-35.21) were more likely to report no work absence. INTERPRETATION: Most of the women with breast cancer took time off work (almost 6 months on average) after receiving the diagnosis. Three years after diagnosis, breast cancer survivors who remained disease-free--a large proportion of women with nonmetastatic breast cancer--were not absent from work more often or for longer periods of time than other working women.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,022 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».